AI / Systems
01 / AI & machine learning
Intelligence, with judgment.
The model is one part of the system. Retrieval, evaluation, failure handling, and the human decision around it deserve the same attention.
The question underneath
What happens when the model is wrong?
Define the acceptable error before choosing the model. Separate confident automation from the decisions that still need a person.
Scope of practice
What the work
can include.
- 01Retrieval and document intelligence
- 02Agentic workflows and model integration
- 03Evaluation, guardrails, and MLOps
Python / LLMs / pgvector / PyTorch
Discuss your constraintsA closer look